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We determine the variation in degree of model fitness with respect to a true model based on Amplitude variation with angle (AVA) methodology by a synthetic Gas hydrate model, using cooperative Fuzzy c means clustering, constrained with a rock property model. When a homogeneous starting model is used, with only traditional least square optimization scheme for inversion, the variance of the density parameter is found to be high in contrast with compressional and shear velocity. Tests with cooperative inversion using Fuzzy c means with 4th order cluster with inclusion of a least square damping technique, constrained with a derived empirical relationship based on rock properties model, the results shows improved stability, model fitness and variance for all the three parameters in comparison with the standard inversion alone.
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